Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 62,071 to 62,080 of 230,319 articles

Improved one-dimensional residual network high-voltage DC diagnosis for high-precision fault identification.

PloS one
High-Voltage Direct Current (HVDC) transmission systems require fast and reliable fault diagnosis to ensure secure and stable operation. However, existing methods, including conventional Convolutional Neural Networks (CNNs), often suffer from limited... read more 

Lateralized effects of vagus nerve stimulation on cortical spreading depression: insights from a mouse model.

Neurological research
OBJECTIVES: Vagus nerve stimulation (VNS) is increasingly recognized as a therapeutic approach for neurological disorders, such as epilepsy, migraine, and stroke rehabilitation. However, clinical outcomes vary considerably among individuals, undersco... read more 

Improving micromorphological analysis with CNN-based segmentation of flint/obsidian, bone and charcoal.

PloS one
The quantification and identification of components in archaeological micromorphology remain subjective and challenging, particularly for early-career researchers. To address this, we developed a deep learning tool for the automatic segmentation of t... read more 

Semantic code clone detection using hybrid intermediate representations and BiLSTM networks.

PloS one
Semantic code clone detection plays an essential role in software maintenance and quality assurance, as it helps uncover fragments of code that express the same logic even when their syntax has been altered or deliberately obfuscated. In this study, ... read more 

Clinical prediction of aortic arch anatomy to guide stroke CT angiography protocols: A machine learning study.

The neuroradiology journal
BackgroundThe aortic arch (AA) influences catheter navigation during endovascular treatment (EVT) for acute ischemic stroke. Whether routine inclusion of the AA in stroke CT angiography (CTA) protocols is necessary remains debated, particularly in se... read more 

FetCAT: Cross-attention fusion of transformer-CNN architecture for fetal brain plane classification with explainability using motion-degraded MRI.

PloS one
Fetal brain magnetic resonance imaging (MRI) has been recognized as a vital diagnostic tool for identifying neurological anomalies during pregnancy. Accurate classification of fetal MRI planes is essential for effective prenatal neurological assessme... read more 

SVASCilia is an open-source, deep learning-based tool for 3D analysis of cochlear hair cell stereocilia bundles.

PLoS biology
Cochlear hair cells are essential for hearing, and their stereocilia bundles are critical for mechanotransduction. However, analyzing the 3D morphology of these bundles can be challenging due to their complex organization and the presence of other ce... read more 

Federated TriNet-AQ: Explainable english proficiency classification in augmented and virtual reality learning.

PloS one
AR/VR and other immersive technologies are creating dynamic, learner-centred, and engaging language-learning environments. In these ever-changing situations, judging someone's language abilities is difficult. Managing multimodal learner inputs, under... read more 

Reassessing feature-based Android malware detection in a contemporary context.

PloS one
We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. These studies are reevaluated on a level playing field using a contemporar... read more 

Higher-level spatial prediction in natural vision across mouse visual cortex.

PLoS computational biology
Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, evidence for prediction in sensory cortex largely comes from artificial experiments using simple, high... read more